The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/22220134

Christa van IJzendoorn (2023): Python code for the analysis of AeoLiS grain size scenarios. Version 2. 4TU.ResearchData. software. https://doi.org/10.4121/22220134.v2

Software

x choose version: version 1 - 2023-03-08

• Civil Engineering
• Oceanography
• Physical Geography and Environmental Geoscience
• Earth Sciences
• Engineering

aeolian processes, aeolis, beach, coast, dunes, grain size, python

GPL-3.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Christa van IJzendoorn

This repository contains the Python code that was used to analyze grain size scenarios simulated with AeoLiS, as presented in:

- van IJzendoorn, C.O., Hallin, C., A.J.H.M. Reniers, de Vries, S. (submitted) Modeling multi-fraction coastal aeolian sediment transport with horizontal and vertical grain size variability.

A second zip file is attached that contains the output that can be created with the scripts that are available in this repository and at Github.

• 2023-03-08 first online

• 2023-06-16 published, posted

4TU.ResearchData

.py files for creation of input data and analysis.txt files for model input.nc and .log files for model output.png files for figures

• https://github.com/christavanijzendoorn/grainsizeanalysis-aeolis

• This work is part of the research programme DuneForce with project number 17064, which is (partly) financed by the Dutch Research Council (NWO).

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering